Detection and enhancement of line structures in an image by anisotropic diffusion

Koichiro Deguchi, Tadahiro Izumitani, Hidekata Hontani

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

This paper describes a method to enhance line structures in a gray-level image. For this purpose, we blur the image using anisotropic Gaussian filters along the directions of each line structure. In a line structure region the gradients of image gray levels have a uniform direction. To find such line structures, we evaluate the uniformity of the directions of the local gradients. Before this evaluation, we need to smooth out small structures to obtain line directions. We, first, blur the given image by a set of Gaussian filters. The variance of the filter which maximizes the uniformity of the local gradient directions is detected position by position. Then, the line directions in the image are obtained from this blurred image. Finally, we blur the image using an anisotropic filter again along the directions, and enhance every line structure.

Original languageEnglish
Pages (from-to)1399-1405
Number of pages7
JournalPattern Recognition Letters
Volume23
Issue number12
DOIs
Publication statusPublished - 2002 Oct 1

Keywords

  • Anisotropic filter
  • Line structure enhancement
  • Multi-resolution analysis
  • Structure tensor

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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